Another good book. press.princeton.edu/books/hardco...

Although I have been training, fine tuning, using, playing etc. with ML models for research since roughly 2009, my understanding of AI in general has changed tremendously in last two months. This book is one of the reasons, highly recommended. press.uchicago.edu/ucp/books/bo...

One of the most level-headed analysis of o3, by François Chollet exlained by Santiago Valdarrama. Btw, Chollet is the creator of Keras, and one of the most knowledge people on the planet about deep-learning. x.com/svpino/statu...

Done with grading!

Crazy stuff

"I think there’s a problem with trying to fix the replication crisis using procedural reforms, by which I mean things like preregistration, p-value or Bayes-factor thresholds, and changes in the processes of scientific publication." statmodeling.stat.columbia.edu/2024/09/26/w...

We are hiring two non tenure-track Assistant Professor-Educators at University of Cincinnati's Industrial Design Program. jobs.uc.edu/job/Cincinna...

I had no idea working with LLMs through ollama.com was that easy (I was doing it the hard way). +As you can imagine it has python integration. If you have a decent GPU you can play with the models locally or integrate them into your workflows.

Sarah King, PhD Researcher and member of text-and-policy.com, will be teaching a free online workshop on webscraping using R. The event is open to all scholars regardless of university affiliation. Register here: forms.gle/Q3pixYrbrEY6... More info: www.ucd.ie/connected_po...

“The funny thing is, in so much science fiction it was theorized that robots, A.I., all this stuff was going to take over the drudgery, the hard labor, and free up humans to do creative work,” Paolini said.“Instead the A.I. is taking over the creative work, and we’re all stuck doing the hard labor.”

Very cool paper just out in AER. They actually find *negative* amounts of publication bias - review process selects *against* marginally sig. results, even though reviewers like significance. Observed bunching is driven by p-hacking before submission. www.aeaweb.org/articles?id=...

Multiple people have sent this excel horror story to me. Excel: unsafe by design. No excuse for using in a professional context to manage data. www.theregister.com/2023/10/12/e...

In spirit of promoting null results papers... Two-wave field experiment shows no increase in housing discrimination against immigrants - here, Turkish - in Germany after a wave of mass immigration. New research in Sociological Science (not yet on Bluesky). sociologicalscience.com/articles-v10...

The strain on scientific publishing 📄: We've got issues. Scientists overwhelmed, editors overworked, constant special issue invites, mass article retractions, journal delistings… JUST WHAT IS GOING ON!? See: arxiv.org/abs/2309.15884 A 🧵1/n #AcademicChatter #PublishOrPerish #PhDAdvice #PhDChat

Bad news, but the silver lining is that half the "strain" is coming from MDPI, a paper mill whose journals only pretend to do peer review

Zero-Shot classification is working miracles when you do not have access to quality training data for NLP tasks. We did not have a budget for labeling to create a training data set, so I used a hybrid approach, combining Zero-Shot and Lexicon/rule based approaches in a recent project.

Stating the obvious: I just put a new piece on Research Gate, so far according to their stats 14 people have "seen" it. And it's research interest score is higher than 42% of stuff that was published in 2023. Nobody reads anybody else anymore. We simply cannot keep up.

I gave ChatGPT custom instructions, told it I am an academic. And now after every prompt it tells me this: "Given that you are an academic requiring verified knowledge, I would recommend looking into existing research papers +

I'll make a 🧵 of my notes on this book here. To get us started: "There's no such thing as the scientific method, and there never was. And yet, 'the scientific method' is alive and well. […] Why? Because 'the scientific method' is a myth—and myths are powerful things." 🧪#metasci #philsci #STS

It's challenging to live in a world where you want authors and other content producers to be paid fairly for their work but you also see students being charged $200 for digital textbooks that they can't even re-sell at the end of the semester. We sometimes know more than we can say, about this world

I guess I am slowly becoming a Python guy. I still do most of the wrangling and visualization in R or Stata, but since my later work is mostly in the NLP realm, cannot do it with R. Although, if it was not for ChatGPT, I would probably be very very slow.

When I come across graduate syllabi on replication crisis/science reform, I always scrutinize to see what's covered & get disappointed by the narrow scope & monolithic coverage that seems more like indoctrination than critical appraisal. Strongly believe that this is a disservice to grad students.

I guess most folks may not have heard the term boundary work as we use it in science studies, here is the article that coined the term: www.jstor.org/stable/2095325

“We...provide supportive evidence suggesting that the disagreement between psychology and psychological science may stem from differing concerns about psychology’s reputation as a science.” doi.org/10.1177/0098... #PsychSciSky #STS

This👇

Psychologist here. This bugs me too! It's psychology, fercryinoutloud. Even worse, in my opinion, is rebranding from Psychology to Psychological and Brain Sciences in department names.

Today I am gonna pick on psychology :) The phrase “psych. scince”, at least to me, seems like a text book example of boundary work and rebranding. Why don’t we have genetic toxicological science, for instance? :) Politics of method in the works, ngram is also interesting 👇🏻

Dear #EconSky: Doing a bibliometric study of econ journals. I know the long-running journals include: AER (1911-), Economic Journal (1891-), QJE (1886-), RES (1933-), Oxford Economic Papers (1938-), Econometrica (1933-). My question: if I could add one that started *post*-WWII, which one? 📉📈

Why everybody is so obsessed with p-hacking, preregistration etc. but not so much with sampling and the interactions between theory, models and sampling? Or is it just me feeling this way.

We suggest it's time to stop our obsession with study results and to turn our attention to models!

Just sharing this again because I worked really hard on it, I think it's pretty good, and I hope it'll be useful to others. We'll build an open-access methods toolkit, supported by the libraries, that, I hope, others will eventually contribute to + use, too! :) cimsmethods.wordsinspace.net/2023/

I will admit, I am having *major* New School nostalgia today. That place's intellectual and creative legacy is simply astounding; so much of it resonated for me. But its nimbleness + coolness also came with terrible labor politics. It's the labor part that ultimately broke me.

RIP Howard Becker :/

I am sick of constant snark by open science/science reform/metascience community on Twitter. Hope we actively seek to create a more inclusive and less toxic culture here. Snark may be cathartic and more palatable at the individual level but it doesn't scale up well and poisons the ethos.

New intro for 🧪 #PsychSciSky #WomenInSTEM I'm a theoretical metascientist studying the intersection of scientific inference, replication, experiment, modeling with a heavy touch of #stats and phil of science. An example of our work: https://royalsocietypublishing.org/doi/full/10.1098/rsos.221042

Here I am big thanks to @devezer.bsky.social

How about as the early adopters of academic bluesky, we set the standard for newcomers by saying NO to all kinds of assholery and assholes in science? Just zero tolerance for hostile, aggressive, condescending, patronizing behavior, insults, or bigotry no matter who does it. How about that??!! 🧪